Are Data Scientists truly The Jack of All Trades? Take a look and see what makes this emerging field so great

1. DATA SCIENTISTS: THE NEWDARK
HORSES

2. WHAT DO DATA SCIENTISTS DO?

3. WHAT IS A DARK HORSE
HISTORY OF DARK HORSE
PROFESSIONS
DATA
SCIENTIST
S
COMPUTER
PROGRAMM
ERS
QUANTS

4. KEY INSIGHT #1
• JACK OF ALL TRADES, MASTER
OF ALL

5. DATA SCIENTS ARE NOT PROFICENTIN
SINGULAR SKILLS ALONE

6. DATA SCIENCE SHOWS NO SIGNS OF
CESSATION
KEY INSIGHT #2

7. M
O
R
E
D
E
M
A
A
N
D
L
E
S
S
S
U
P
P
L
Y

8. ADDITIONAL TAKEAWAYS
• Data Scientists prefer to be at the on the bridge
of the problem.
• Companies are heavily investing in data
science.
• Coding may no longer be a requirement in the
future.

9. REASONS FOR EMERGENCE
1.Data Storage is getting cheaper.
2.Large amounts of data is being produced
everyday.
3.Businesses and people are using the
internet.
4.Gordon Moore’s Law.

10. THE WHYS-RELEVANCE

11. #1
Managers must understand that data
scientists need skill sets to qualify

12. #2
Managers must fully
know the skills required
for the job/task at hand.

13. #3
• Managers must understand that data
scientists need independence to experiment
and explore .
• They must interact with all stakeholders
and connect data.

14. #4
• Managers must learn to use the best of Data
Science and not wait for the next dark horse to
arrive.

15. THE HOWS-RELEVANCE

16. THE FUNNEL OF DATA USE
BUSINESSE
S
NEED
DATA
DATA
NEEDS
SCIENT
ISTS
SCIENTISTS
ARE
COMMON
DIFFCULT
TO
CHOOSE

17. THE HOWS-RELEVANCE
• All businesses use data scientists.
• Managers should not lag behind in using
this ‘dark horse’ to drive business.
• Managers may not know how to interpret
and process data like a scientist.
• Data will never die, so managers need
scientists.